Course Outline

  • R's environment
  • Object oriented programming in R
  • S3
  • S4
  • Reference classes
  • Performance profiling
  • Exception handling
  • Debugging R code
  • Creating R packages
  • Unit testing
  • C/C++ coding in R
  • SEXPRs
  • Calling dynamically loaded libraries from R
  • Writing and compiling C/C++ code from R
  • Improving R's performance with C++ linear algebra library

Requirements

Linux Operating System

  7 Hours
 

Number of participants


Starts

Ends


Dates are subject to availability and take place between 09:30 and 16:30.
Open Training Courses require 5+ participants.

Testimonials (3)

Related Courses

Data Analytics With R

  21 Hours

Related Categories